thetaOwl

MU

Micron Technology, Inc.Close $864.01EOD only
Max Pain
$940.00
Next expiry Jun 12, 2026
Expected Move
±$101.42
11.7% from close
Price Gap
+75.99
Distance to max pain
IV Rank
100
High premium
P/C OI
1.52
Slightly put-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 5, 2026 close
End-of-day snapshot

This page reflects MU options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
Jun 5, 2026 close
MU AI Consensus Report
Analysis based on market close June 8, 2026

Historical consensus-supported lens with full content, report chain context, and metric rail.

Conviction
6.5

out of 10

6.5 not 8 because put OI skew and high IV crush risk post-earnings temper the bullish alignment, despite strong dealer gamma and call flow.

Where Perspectives Agree

Bullish pin near $925 supported by strong dealer long gamma, heavy call flow, and max pain attraction.

Where They Diverge

Put-heavy OI ratio (1.51) and elevated put IV skew suggest hedging or bearish positioning, contradicting the dominant bullish flow and sentiment.

Top Trade
via theta

Sell 2026-07-17 $850/$840 put credit spread for ~$2.50 credit — defined risk, profits from pin, uses theta decay.

Key Risk

Break below $730 gamma flip triggers dealer delta hedging reversal, accelerating downside and invalidating the bullish pin thesis.

How to Use These Reports
This ai consensus reflects the market close on June 8, 2026.
What the reports do

Each report translates the same market-close options snapshot into a specific lens such as directional bias, premium-selling posture, flow quality, or earnings setup.

How traders use them

Reports are most useful for narrowing the playbook, surfacing entry and risk context, and deciding which raw data page to inspect next.

What to remember

These are interpretation layers, not execution guarantees. Validate the setup against chain liquidity, expected move, and exposure before sizing risk.

If the report conviction and the raw data disagree, slow down and resolve the mismatch before sizing risk.